Spectral energy identification method of the linear observation model in the absence of a covariance function model

被引：1

作者：

Sergeev V.V. ^{[1
,2
]}

Denisova A.Y. ^{[1
,2
]}

机构：

[1] Samara State Aerospace Univercity, Moskovskoe sh. 34, Samara

[2] Institute of Image Processing Systems, Russian Academy of Sciences, ul. Molodogvardeiskaya 151, Samara

来源：

Denisova, A. Yu. | 1600年 / Izdatel'stvo Nauka卷 / 24期

基金：

俄罗斯基础研究基金会;

关键词：

covariance function; energy spectrum; filtering; identification; impulse characteristics; linear observation model;

D O I：

10.1134/S1054661814040178

中图分类号：

学科分类号：

摘要：

The paper describes a modification of the spectral energy identification method of the linear observation model for cases where the model of the autocovariance function is unknown. Distorting factors are smoothing impulse response and additive Gaussian noise. © 2014, Pleiades Publishing, Ltd.

引用

页码：561 / 565

页数：4

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